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@@ -10,14 +10,22 @@ This repository contains the second version of our Automatic Speech Recognition
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It can generate both an exact verbatim transcription with annotation tags as well as a fully formatted and cleaned up subtitle transcription.
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It outputs both modalities with separate decoders.
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# Usage
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This repository only hosts the pre-trained model itself and the configuration files.
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Using this model requires installation of our Flemish Speech&Subtitling branch of the ESPnet toolkit, which you can find on Github [**here**](https://github.com/nelfproject/ASR_espnet_v2).
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The Github page will contain all further details to use the model. To download the model, see the instructions [here](https://huggingface.co/docs/hub/models-downloading).
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# Citation
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If you use this model, please cite the research paper: (Will be added shortly).
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It can generate both an exact verbatim transcription with annotation tags as well as a fully formatted and cleaned up subtitle transcription.
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It outputs both modalities with separate decoders.
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**Version**: April 2024
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# Usage
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This repository only hosts the pre-trained model itself and the configuration files.
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Using this model requires installation of our Flemish Speech&Subtitling branch of the ESPnet toolkit, which you can find on Github [**here**](https://github.com/nelfproject/ASR_espnet_v2).
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The Github page will contain all further details to use the model. To download the model, see the instructions [here](https://huggingface.co/docs/hub/models-downloading).
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# Webservice
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This model can also be accessed through the [webservice of the NeLF Project](https://nelfproject.be/web_service.php). After requesting access, you can upload audio or video files and they will be transcribed according to the desired settings.
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# Citation
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If you use this model, please cite the research paper: (Will be added shortly).
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# Contact
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Jakob Poncelet: jakob.poncelet@kuleuven.be
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